Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings

Purpose: Automated diagnosis of urogenital schistosomiasis using digital microscopy images of urine slides is an essential step toward the elimination of schistosomiasis as a disease of public health concern in Sub-Saharan African countries. We create a robust image dataset of urine samples obtained from field settings and develop a two-stage...

Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings

For many parasitic diseases, the microscopic examination of clinical samples such as urine and stool still serves as the diagnostic reference standard, primarily because microscopes are accessible and cost-effective. However, conventional microscopy is laborious, requires highly skilled personnel, and is highly subjective. Requirements for...

Performance Evaluation of the AiDx Multi-Diagnostic Automated Microscope For the Detection of Lymphatic Filariasis in Ogun State, Nigeria: A Technical Report

To achieve the WHO’s goal of sustained elimination of Lymphatic Filariasis disease, there is the need for accurate diagnostic device especially in areas of low-intensity infections. This project, which is a collaboration of the Nigerian Federal Ministry of Health (FMoH), AiDx and funded by THE END FUND is exploring the performance capacity of...